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Fix pylint and tagging with SageMaker models
pylint version we are currently using is buggy and we are not getting any results back. This change also fixes a bug where we are not actually passing the tags parameter into the create_model call in the session.
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7 files changed

+6
-14
lines changed

7 files changed

+6
-14
lines changed

src/sagemaker/analytics.py

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@@ -61,7 +61,6 @@ def dataframe(self, force_refresh=False):
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def _fetch_dataframe(self):
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"""Sub-class must calculate the dataframe and return it.
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"""
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pass
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def clear_cache(self):
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"""Clear the object of all local caches of API methods, so

src/sagemaker/estimator.py

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@@ -152,7 +152,6 @@ def train_image(self):
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Returns:
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str: The URI of the Docker image.
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"""
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pass
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@abstractmethod
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def hyperparameters(self):
@@ -164,7 +163,6 @@ def hyperparameters(self):
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Returns:
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dict[str, str]: The hyperparameters.
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"""
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pass
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def enable_network_isolation(self):
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"""Return True if this Estimator will need network isolation to run.
@@ -405,7 +403,6 @@ def create_model(self, **kwargs):
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Returns:
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sagemaker.model.Model: A SageMaker ``Model`` object. See :func:`~sagemaker.model.Model` for full details.
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"""
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pass
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@classmethod
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def _prepare_init_params_from_job_description(cls, job_details, model_channel_name=None):

src/sagemaker/job.py

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@@ -42,13 +42,11 @@ def start_new(self, estimator, inputs):
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Returns:
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sagemaker.job: Constructed object that captures all information about the started job.
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"""
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pass
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@abstractmethod
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def wait(self):
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"""Wait for the Amazon SageMaker job to finish.
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"""
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pass
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@staticmethod
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def _load_config(inputs, estimator, expand_role=True, validate_uri=True):

src/sagemaker/local/data.py

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@@ -97,7 +97,6 @@ def get_file_list(self):
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Returns:
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List[str]: List of absolute paths.
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"""
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pass
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@abstractmethod
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def get_root_dir(self):
@@ -106,7 +105,6 @@ def get_root_dir(self):
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Returns:
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str: absolute path to the root directory of this data source.
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"""
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pass
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class LocalFileDataSource(DataSource):
@@ -201,7 +199,6 @@ def split(self, file):
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Returns:
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generator for the individual records that were split from the file
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"""
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pass
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class NoneSplitter(Splitter):
@@ -286,7 +283,6 @@ def pad(self, file, size):
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Returns:
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generator of records
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"""
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pass
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class MultiRecordStrategy(BatchStrategy):

src/sagemaker/model.py

Lines changed: 3 additions & 2 deletions
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@@ -116,7 +116,8 @@ def _create_sagemaker_model(self, instance_type, accelerator_type=None, tags=Non
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enable_network_isolation = self.enable_network_isolation()
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self.sagemaker_session.create_model(self.name, self.role,
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container_def, vpc_config=self.vpc_config,
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enable_network_isolation=enable_network_isolation)
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enable_network_isolation=enable_network_isolation,
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tags=tags)
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def _framework(self):
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return getattr(self, '__framework_name__', None)
@@ -254,7 +255,7 @@ def deploy(self, initial_instance_count, instance_type, accelerator_type=None, e
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if self._is_compiled_model:
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self.name += compiled_model_suffix
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self._create_sagemaker_model(instance_type, accelerator_type)
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self._create_sagemaker_model(instance_type, accelerator_type, tags=tags)
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production_variant = sagemaker.production_variant(self.name, instance_type, initial_instance_count,
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accelerator_type=accelerator_type)
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if endpoint_name:

tests/unit/test_estimator.py

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@@ -909,7 +909,8 @@ def test_fit_deploy_keep_tags(sagemaker_session):
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'DummyRole',
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{'ModelDataUrl': 's3://bucket/model.tar.gz', 'Environment': {}, 'Image': 'fakeimage'},
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enable_network_isolation=False,
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vpc_config=None)
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vpc_config=None,
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tags=tags)
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def test_generic_to_fit_no_input(sagemaker_session):

tox.ini

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@@ -69,7 +69,7 @@ commands = flake8
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[testenv:pylint]
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basepython = python3
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deps =
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pylint==2.1.1
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pylint==2.3.1
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commands =
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python -m pylint --rcfile=.pylintrc -j 0 src/sagemaker
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